Job Overview
Location
Philippines
Job Type
Full-time
Category
Data Engineer
Date Posted
March 28, 2026
Full Job Description
đź“‹ Description
- • As a Data Engineer at Maneuver Marketing LLC, you will play a critical role in ensuring the reliability, accuracy, and performance of the company’s data infrastructure, directly enabling data-driven decision-making for high-growth DTC health and wellness brands serving over 3 million customers globally.
- • You will be responsible for maintaining and optimizing data pipelines, monitoring data quality, managing costs, and ensuring compliance — all while collaborating with technical and business teams to support scalable analytics in a fast-paced, remote-first environment.
- • The Data Engineering team at Maneuver Marketing is a small, high-impact group focused on operational excellence, where your work directly influences the trustworthiness of data used by marketing, finance, product, and leadership teams to drive growth and innovation.
- • In this role, you will deepen your expertise in cloud data warehousing (BigQuery), ETL orchestration (Daton/Fivetran), data validation frameworks, and cost optimization — gaining hands-on experience with real-world e-commerce data ecosystems at scale.
- • Monitor, build, and respond to Daton pipeline notifications and alerts to ensure end-to-end data pipeline reliability and timely issue resolution.
- • Track data latency, freshness, and completeness across all source systems (Shopify, GA4, Meta, Klaviyo, Google Ads, Loop, etc.) to guarantee data is available and accurate for downstream reporting.
- • Design, build, and maintain QC processors for all source data and custom reports, implementing automated validation checks including null checks, duplicate detection, range/boundary validation, and referential integrity.
- • Monitor job execution at pipeline, QC/validation, and API/source system levels; investigate failures, perform root cause analysis, and coordinate with vendors or internal teams when issues originate upstream.
- • Create and enhance data pipelines, onboard new platform integrations, and implement logic changes to existing pipelines while maintaining detailed documentation and change logs.
- • Optimize query performance and warehouse costs by monitoring BigQuery billing alerts, maintaining cost dashboards, implementing table partitioning/clustering, and optimizing incremental loads and expensive queries.
- • Proactively flag high-cost queries via Slack and collaborate with teams to tune performance without sacrificing data accuracy or availability.
- • Monitor and respond to source schema and data-type changes, API limits, downtime, or auth failures; assess business impact and classify incidents as P0/P1 when required.
- • Maintain GDPR, CCPA, and related compliance controls; manage RBAC and column-level security in BigQuery; ensure PII masking and access restrictions.
- • Respond to security incidents related to data access or credentials, and maintain audit-ready documentation for compliance purposes.
- • Maintain documentation for pipelines, tables, business logic, and operational runbooks; update test cases for logic or schema changes; document incident RCA and resolutions.
- • Manage logic and schema change requests from business teams through structured change management processes.
- • Perform daily validation of critical metrics against source UIs to ensure KPI consistency across raw, transformed, and reporting layers.
- • Implement anomaly detection for key tables and metrics to proactively identify data drift or outliers before they impact business decisions.
- • Communicate clearly with both technical and non-technical stakeholders, translating complex data issues into actionable insights.
- • Work independently in a remote setup with strong ownership mindset, proactive troubleshooting, and disciplined documentation practices.
- • Adapt to flexible scheduling (full-time or 15–20 hours/week part-time) with preferred overlap during Singapore business hours (9:00 AM – 6:00 PM SGT) for real-time collaboration and incident response.
🎯 Requirements
- • Strong Google BigQuery expertise including SQL optimization, partitioning, and clustering
- • Experience with ETL tools such as Daton, Fivetran, or similar platforms
- • Pipeline monitoring and alerting experience with proven ability to investigate failures and perform root cause analysis
- • Strong SQL skills for debugging, validation, and troubleshooting production data issues
- • E-commerce data experience with Shopify, GA4, Meta, Klaviyo, Google Ads, or similar platforms preferred
- • Experience maintaining production data systems in a reliable, scalable manner
- • Strong troubleshooting and root cause analysis (RCA) skills
- • Clear communication with both technical and non-technical stakeholders
- • Proactive, ownership-driven mindset with ability to work independently in a remote environment
- • Strong documentation discipline for pipelines, schema, logic, and incident resolution
🏖️ Benefits
- • Opportunity to work with a high-growth DTC brand that has achieved USD$100M+ in annual sales and was ranked among APAC’s top High-Growth Companies by the Financial Times
- • Fully remote work arrangement with flexibility to choose full-time or part-time (15–20 hrs/week) engagement
- • Exposure to cutting-edge e-commerce data stack including BigQuery, Daton, dbt, Shopify, GA4, Meta, and Klaviyo
- • Collaborative culture with A-players focused on innovation, data integrity, and measurable impact on consumer health and wellness
- • Clear response time expectations (P0: 2hrs, P1: 4hrs, P2: 24hrs) enabling structured workload management and work-life balance
- • Professional growth in data reliability, cost optimization, security/compliance, and automated validation within a real-world, high-volume data environment
Skills & Technologies
Remote
About Maneuver Marketing LLC
Maneuver Marketing LLC is a U.S.–based agency that plans and executes data-driven digital marketing programs for mid-market B2B companies. Core services include paid search, paid social, SEO, content strategy, marketing automation, and revenue operations consulting. The team integrates with clients’ existing sales and marketing stacks to optimize funnel performance, lower CAC, and accelerate pipeline growth. Founded in 2017 and headquartered in Austin, Texas, the company operates as a remote-first organization serving SaaS, technology, and professional-services clients across North America.
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